%A CAO Min-zi, ZHANG Lin-lin, BI Xue-hua, ZHAO Kai %T Personalized (α,l)-diversity k-anonymity Model for Privacy Preservation %0 Journal Article %D 2018 %J Computer Science %R 10.11896/j.issn.1002-137X.2018.11.028 %P 180-186 %V 45 %N 11 %U {https://www.jsjkx.com/CN/abstract/article_17854.shtml} %8 %X Aiming at the problem that traditional privacy preservation model is lack of considering the personalized anonymity,this paper analyzed the existing two personalized anonymity mechanisms.On the basis of k-anonymity and l-diversity model,a personalized (α,l)-diversity k-anonymity model was proposed to solve the existing problems.In the proposed model,the sensitive attribute values are divided into several categories according to their sensitivities,eachcate-gory is assigned with corresponding constraints,and the personalized privacy preservation is provided for specific individuals.The experimental results show that the proposed model can provide stronger privacy preservation while supp-lying personalized service efficiently.